Xiang‐An Li

3.1k total citations · 1 hit paper
57 papers, 2.5k citations indexed

About

Xiang‐An Li is a scholar working on Epidemiology, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Xiang‐An Li has authored 57 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Epidemiology, 17 papers in Molecular Biology and 13 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Xiang‐An Li's work include Sepsis Diagnosis and Treatment (15 papers), Cholesterol and Lipid Metabolism (8 papers) and Adrenal Hormones and Disorders (8 papers). Xiang‐An Li is often cited by papers focused on Sepsis Diagnosis and Treatment (15 papers), Cholesterol and Lipid Metabolism (8 papers) and Adrenal Hormones and Disorders (8 papers). Xiang‐An Li collaborates with scholars based in United States, China and Japan. Xiang‐An Li's co-authors include Ling Guo, Eric J. Smart, Alan Daugherty, William V. Everson, Sergey V. Matveev, Annette Uittenbogaard, Junting Ai, Zhong Zheng, Bin Huang and Zhenyu Li and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Xiang‐An Li

55 papers receiving 2.5k citations

Hit Papers

Inflammasome Activation Triggers Blood Clotting and Host ... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiang‐An Li United States 27 895 584 583 448 338 57 2.5k
Nigora Mukhamedova Australia 24 835 0.9× 941 1.6× 512 0.9× 389 0.9× 627 1.9× 40 2.5k
Nozomu Tanji Japan 27 1.4k 1.5× 502 0.9× 554 1.0× 390 0.9× 763 2.3× 74 4.5k
Michael Holzer Austria 27 500 0.6× 637 1.1× 397 0.7× 391 0.9× 645 1.9× 59 2.3k
Geneviève Martin France 30 1.7k 1.9× 778 1.3× 758 1.3× 754 1.7× 472 1.4× 57 3.9k
Nazima Pathan United Kingdom 25 1.3k 1.5× 347 0.6× 459 0.8× 591 1.3× 80 0.2× 79 3.0k
Véronique Bailly United States 22 1.8k 2.0× 535 0.9× 634 1.1× 301 0.7× 74 0.2× 24 4.3k
Kathrin Eller Austria 30 666 0.7× 622 1.1× 828 1.4× 464 1.0× 455 1.3× 138 3.2k
M Kawamura Japan 32 815 0.9× 429 0.7× 346 0.6× 357 0.8× 419 1.2× 121 2.9k
Laura A. Woollett United States 29 811 0.9× 770 1.3× 120 0.2× 235 0.5× 287 0.8× 52 2.5k
Wataru Kamiike Japan 26 2.0k 2.3× 1.2k 2.1× 386 0.7× 502 1.1× 120 0.4× 115 4.1k

Countries citing papers authored by Xiang‐An Li

Since Specialization
Citations

This map shows the geographic impact of Xiang‐An Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiang‐An Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiang‐An Li more than expected).

Fields of papers citing papers by Xiang‐An Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiang‐An Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiang‐An Li. The network helps show where Xiang‐An Li may publish in the future.

Co-authorship network of co-authors of Xiang‐An Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xiang‐An Li. A scholar is included among the top collaborators of Xiang‐An Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiang‐An Li. Xiang‐An Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Guo, Ling, Qian Wang, & Xiang‐An Li. (2025). The Role of SR-BI in sepsis: leveraging mechanistic insights to advance precision steroid therapy. Frontiers in Immunology. 16. 1643395–1643395. 1 indexed citations
2.
Li, Xiang‐An, et al.. (2024). Therapeutics for sickle cell disease intravascular hemolysis. Frontiers in Physiology. 15. 1474569–1474569.
3.
Xue, Ji-Chun, et al.. (2024). The Role of Scavenger Receptor BI in Sepsis. International Journal of Molecular Sciences. 25(24). 13441–13441. 2 indexed citations
4.
Guo, Ling, Weinan Wang, Dan Hao, et al.. (2023). The adrenal stress response is an essential host response against therapy-induced lethal immune activation. Science Signaling. 16(777). eadd4900–eadd4900. 3 indexed citations
5.
Ji, Ailing, Victoria P. Noffsinger, Luke W. Meredith, et al.. (2023). Deficiency of Acute-Phase Serum Amyloid A Exacerbates Sepsis-Induced Mortality and Lung Injury in Mice. International Journal of Molecular Sciences. 24(24). 17501–17501. 6 indexed citations
6.
7.
Wang, Qian, Dan Hao, Hisashi Sawada, et al.. (2020). Ultrasound Monitoring of Thymus Involution in Septic Mice. Ultrasound in Medicine & Biology. 47(3). 769–776. 2 indexed citations
8.
Wu, Congqing, Wei Lu, Yan Zhang, et al.. (2019). Inflammasome Activation Triggers Blood Clotting and Host Death through Pyroptosis. Immunity. 50(6). 1401–1411.e4. 308 indexed citations breakdown →
9.
Petriello, Michael C., J. Anthony Brandon, Jessie B. Hoffman, et al.. (2017). Dioxin-like PCB 126 Increases Systemic Inflammation and Accelerates Atherosclerosis in Lean LDL Receptor-Deficient Mice. Toxicological Sciences. 162(2). 548–558. 55 indexed citations
10.
Li, Juan, et al.. (2016). Up-regulated expression of scavenger receptor class B type 1 (SR-B1) is associated with malignant behaviors and poor prognosis of breast cancer. Pathology - Research and Practice. 212(6). 555–559. 31 indexed citations
11.
Yuan, Baoying, Xingwen Wang, Dan Wang, et al.. (2015). High scavenger receptor class B type I expression is related to tumor aggressiveness and poor prognosis in breast cancer. Tumor Biology. 37(3). 3581–3588. 57 indexed citations
12.
Liu, Jingjing, Shuang Liang, Xiaoxi Liu, et al.. (2012). The absence of ABCD2 sensitizes mice to disruptions in lipid metabolism by dietary erucic acid. Journal of Lipid Research. 53(6). 1071–1079. 18 indexed citations
13.
Frazier, W. Joshua, Xianxi Wang, Lyn M. Wancket, et al.. (2009). Increased Inflammation, Impaired Bacterial Clearance, and Metabolic Disruption after Gram-Negative Sepsis in Mkp-1 -Deficient Mice. The Journal of Immunology. 183(11). 7411–7419. 87 indexed citations
14.
Liu, Jingjing, et al.. (2009). ABCD2 is abundant in adipose tissue and opposes the accumulation of dietary erucic acid (C22:1) in fat. Journal of Lipid Research. 51(1). 162–168. 30 indexed citations
15.
Rateri, Debra L., et al.. (2006). Angiotensin II infusion induces site-specific intra-laminar hemorrhage in macrophage colony-stimulating factor-deficient mice. Atherosclerosis. 186(2). 282–290. 24 indexed citations
16.
Li, Xiang‐An, William V. Everson, & Eric J. Smart. (2005). Caveolae, Lipid Rafts, and Vascular Disease. Trends in Cardiovascular Medicine. 15(3). 92–96. 80 indexed citations
17.
Dressman, James, Jeanie Kincer, Sergey V. Matveev, et al.. (2003). HIV protease inhibitors promote atherosclerotic lesion formation independent of dyslipidemia by increasing CD36-dependent cholesteryl ester accumulation in macrophages. Journal of Clinical Investigation. 111(3). 389–397. 140 indexed citations
18.
Gong, Ming, Melinda E. Wilson, Thomas H. Kelly, et al.. (2003). HDL-associated estradiol stimulates endothelial NO synthase and vasodilation in an SR-BI–dependent manner. Journal of Clinical Investigation. 111(10). 1579–1587. 128 indexed citations
19.
Matveev, Sergey V., Xiang‐An Li, William V. Everson, & Eric J. Smart. (2001). The role of caveolae and caveolin in vesicle-dependent and vesicle-independent trafficking. Advanced Drug Delivery Reviews. 49(3). 237–250. 79 indexed citations
20.
Li, Xiang‐An, Chikao Yutani, & Kentaro Shimokado. (1998). Serum Amyloid P Component Associates with High Density Lipoprotein as well as Very Low Density Lipoprotein but Not with Low Density Lipoprotein. Biochemical and Biophysical Research Communications. 244(1). 249–252. 23 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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